Sai Abhiram Bussa
StudentStudent, Developer, Gamer
@Start-Date
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Student, Developer, Gamer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
@Start-Date
Student
June 12, 2026 – Present
Product-Dissection-for-Instagram
May 30, 2026 – Present
A comprehensive product dissection of Instagram, analyzing its real-world problem-solving approach, core features, database schema design, and Entity-Relationship (ER) model to understand the architecture behind one of the world's leading social media platforms.
View ProjectTask-Manager-App
February 23, 2026 – Present
TaskFlow is a sophisticated, full-stack task management ecosystem designed for the modern web. Developed as a Mobile App Developer Internship Assignment, this project pushes the boundaries of traditional web apps by delivering a Native-App Feel through glassmorphic design, fluid animations, and a robust RESTful architecture.
View ProjectUltraNova
February 14, 2026 – Present
Ultra Nova v1.0 is an AI Founder OS designed to operate as your strategic command layer—analyzing situations, making high-stakes decisions, aligning teams, and driving execution with survival-first logic.
View ProjectReferal-Management-System
January 14, 2026 – Present
This repository contains my implementation of the Referral Management Systems Take-Home Challenge for PineOS.ai, focused on designing and building two critical systems that commonly exist in incentive and referral platforms: (1) a money-safe reward ledger and (2) a rule-based referral flow engine with a visual builder.
View ProjectPlaystore-App-Review-Exploratory-Data-Analysis
November 2, 2025 – November 13, 2025
Exploratory Data Analysis of Google Play Store app reviews with insights on ratings, sentiment, categories, and install trends using Python, Pandas, and visualization libraries.
View ProjectAI-Marksheet-Extraction-API
August 27, 2025 – August 31, 2025
AI-powered REST API for extracting structured data from marksheet images and PDFs
View ProjectStock-Market-Price-Prediction-using-CNN-RNN-and-LSTM
July 31, 2025 – July 31, 2025
Stock Price Prediction using CNN, RNN and LSTM cutting-edge machine learning techniques! This document outlines the process of using Long Short-Term Memory (LSTM) networks, a powerful type of Convolutional Neural Networks (CNN)Recurrent Neural Network (RNN), Long-Short-Term Memory(LSTM) to forecast stock prices.
View ProjectAnomaly-Detection-using-Deep-Learning
July 4, 2025 – July 4, 2025
This project provides a Streamlit web app to upload and analyze digit images, visualize reconstructions, and detect anomalies in real time. Includes sample images, error analysis, and an easy-to-use interface.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong drive for innovation and a willingness to explore diverse technical domains, which could align well with a dynamic, growth-oriented culture. The focus on AI/ML and full-stack development indicates a broad interest in modern technologies. However, the target role 'Student' and lack of professional experience suggest a need for mentorship and structured guidance to fully integrate into a professional team environment.
Soft Skills & Operational Fit
The candidate's extensive personal projects suggest strong self-motivation, initiative, and a passion for technology. The descriptions indicate an ability to conceptualize and execute complex ideas. However, without formal work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or direct operational fit in a professional setting.